From: Racial disparities in triple negative breast cancer: toward a causal architecture approach
 | Breast cancer patients (Black N = 776, White N = 2540) | |
---|---|---|
Black patients, multivariate AOR, 95% CI | White patients, multivariate AOR, 95% CI | |
Model 1: Age and ICE-Race | ||
Age at diagnosisa | 0.89 (0.83, 0.95)** | 0.97 (0.92, 1.01) |
Census tract ICE-Race (ref = Q5) | ||
 Q1 (most disadvantaged) | 2.90 (0.98, 12.42) | 2.53 (1.49, 4.22)** |
 Q2 | 2.40 (0.80, 10.40) | 1.62 (1.07, 2.45)* |
 Q3 | 2.78 (0.91, 12.12) | 1.40 (0.94, 2.08) |
 Q4 | 2.63 (0.78, 12.15) | 1.71 (1.17, 2.52)* |
Model 2: Age and ICE-Income | ||
Age at diagnosisa | 0.89 (0.83, 0.95)** | 0.96 (0.92, 1.01) |
Census tract ICE–Income (ref = Q5) | ||
 Q1 (most disadvantaged) | 1.50 (0.85, 2.76) | 1.25 (0.76, 2.01) |
 Q2 | 1.22 (0.67, 2.28) | 1.52 (1.05, 2.20)* |
 Q3 | 1.76 (0.88, 3.56) | 0.94 (0.63, 1.39) |
 Q4 | 1.44 (0.78, 2.72) | 1.27 (0.91, 1.77) |
Model 3: Age and ICE-Race/Income | ||
Age at diagnosisa | 0.89 (0.83, 0.95)** | 0.97 (0.92, 1.01) |
Census tract ICE-Race/Rncome (ref = Q5) | ||
 Q1 (most disadvantaged) | 1.81 (0.84, 4.34) | 1.25 (0.70, 2.15) |
 Q2 | 1.84 (0.85, 4.47) | 1.30 (0.91, 1.87) |
 Q3 | 1.68 (0.69, 4.40) | 1.02 (0.71, 1.45) |
 Q4 | 1.83 (0.81, 4.57) | 0.89 (0.63, 1.27) |